Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca
Fuente:
arXiv
Saved in:
| Main Authors: | Cui, Yiming, Yang, Ziqing, Yao, Xin |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ECHO-LLaMA: Efficient Caching for High-Performance LLaMA Training
by: Dialameh, Maryam, et al.
Published: (2025)
by: Dialameh, Maryam, et al.
Published: (2025)
LogLLaMA: Transformer-based log anomaly detection with LLaMA
by: Yang, Zhuoyi, et al.
Published: (2025)
by: Yang, Zhuoyi, et al.
Published: (2025)
Sequential Decision-Making for Inline Text Autocomplete
by: Chitnis, Rohan, et al.
Published: (2024)
by: Chitnis, Rohan, et al.
Published: (2024)
Parameter-Efficient Fine-Tuning of LLaMA for the Clinical Domain
by: Gema, Aryo Pradipta, et al.
Published: (2023)
by: Gema, Aryo Pradipta, et al.
Published: (2023)
ETS: Open Vocabulary Electroencephalography-To-Text Decoding and Sentiment Classification
by: Masry, Mohamed, et al.
Published: (2025)
by: Masry, Mohamed, et al.
Published: (2025)
Human-LLM Hybrid Text Answer Aggregation for Crowd Annotations
by: Li, Jiyi
Published: (2024)
by: Li, Jiyi
Published: (2024)
"Show Me What's Wrong!": Combining Charts and Text to Guide Data Analysis
by: Feliciano, Beatriz, et al.
Published: (2024)
by: Feliciano, Beatriz, et al.
Published: (2024)
Value Profiles for Encoding Human Variation
by: Sorensen, Taylor, et al.
Published: (2025)
by: Sorensen, Taylor, et al.
Published: (2025)
Llamazip: Leveraging LLaMA for Lossless Text Compression and Training Dataset Detection
by: Dréano, Sören, et al.
Published: (2025)
by: Dréano, Sören, et al.
Published: (2025)
Depression detection from Social Media Bangla Text Using Recurrent Neural Networks
by: Ahmed, Sultan, et al.
Published: (2024)
by: Ahmed, Sultan, et al.
Published: (2024)
Love First, Know Later: Persona-Based Romantic Compatibility Through LLM Text World Engines
by: Shang, Haoyang, et al.
Published: (2025)
by: Shang, Haoyang, et al.
Published: (2025)
Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition
by: Feng, Kehua, et al.
Published: (2024)
by: Feng, Kehua, et al.
Published: (2024)
Abstraction Alignment: Comparing Model-Learned and Human-Encoded Conceptual Relationships
by: Boggust, Angie, et al.
Published: (2024)
by: Boggust, Angie, et al.
Published: (2024)
BanglaLlama: LLaMA for Bangla Language
by: Zehady, Abdullah Khan, et al.
Published: (2024)
by: Zehady, Abdullah Khan, et al.
Published: (2024)
Evaluating Large Language Models for Gait Classification Using Text-Encoded Kinematic Waveforms
by: Dindorf, Carlo, et al.
Published: (2026)
by: Dindorf, Carlo, et al.
Published: (2026)
Automatic Macro Mining from Interaction Traces at Scale
by: Huang, Forrest, et al.
Published: (2023)
by: Huang, Forrest, et al.
Published: (2023)
Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion
by: Lee, Seongmin, et al.
Published: (2023)
by: Lee, Seongmin, et al.
Published: (2023)
From Imitation to Discrimination: Progressive Curriculum Learning for Robust Web Navigation
by: Peng, Chuang, et al.
Published: (2026)
by: Peng, Chuang, et al.
Published: (2026)
Generative UI: LLMs are Effective UI Generators
by: Leviathan, Yaniv, et al.
Published: (2026)
by: Leviathan, Yaniv, et al.
Published: (2026)
Multi-Level Feedback Generation with Large Language Models for Empowering Novice Peer Counselors
by: Chaszczewicz, Alicja, et al.
Published: (2024)
by: Chaszczewicz, Alicja, et al.
Published: (2024)
Human-LLM Collaborative Feature Engineering for Tabular Data
by: Li, Zhuoyan, et al.
Published: (2026)
by: Li, Zhuoyan, et al.
Published: (2026)
Transformer Explainer: Interactive Learning of Text-Generative Models
by: Cho, Aeree, et al.
Published: (2024)
by: Cho, Aeree, et al.
Published: (2024)
Deep Representation Learning for Open Vocabulary Electroencephalography-to-Text Decoding
by: Amrani, Hamza, et al.
Published: (2023)
by: Amrani, Hamza, et al.
Published: (2023)
PREF: Reference-Free Evaluation of Personalised Text Generation in LLMs
by: Fu, Xiao, et al.
Published: (2025)
by: Fu, Xiao, et al.
Published: (2025)
Stress Detection on Code-Mixed Texts in Dravidian Languages using Machine Learning
by: Ramos, L., et al.
Published: (2024)
by: Ramos, L., et al.
Published: (2024)
Panza: Design and Analysis of a Fully-Local Personalized Text Writing Assistant
by: Nicolicioiu, Armand, et al.
Published: (2024)
by: Nicolicioiu, Armand, et al.
Published: (2024)
A Framework for Evaluating LLMs Under Task Indeterminacy
by: Guerdan, Luke, et al.
Published: (2024)
by: Guerdan, Luke, et al.
Published: (2024)
SELF-PERCEPT: Introspection Improves Large Language Models' Detection of Multi-Person Mental Manipulation in Conversations
by: Khanna, Danush, et al.
Published: (2025)
by: Khanna, Danush, et al.
Published: (2025)
Leveraging Variation Theory in Counterfactual Data Augmentation for Optimized Active Learning
by: Gebreegziabher, Simret Araya, et al.
Published: (2024)
by: Gebreegziabher, Simret Araya, et al.
Published: (2024)
Advancing Social Intelligence in AI Agents: Technical Challenges and Open Questions
by: Mathur, Leena, et al.
Published: (2024)
by: Mathur, Leena, et al.
Published: (2024)
Self-reflecting Large Language Models: A Hegelian Dialectical Approach
by: Abdali, Sara, et al.
Published: (2025)
by: Abdali, Sara, et al.
Published: (2025)
'Simulacrum of Stories': Examining Large Language Models as Qualitative Research Participants
by: Kapania, Shivani, et al.
Published: (2024)
by: Kapania, Shivani, et al.
Published: (2024)
Automated Explanation of Machine Learning Models of Footballing Actions in Words
by: Rahimian, Pegah, et al.
Published: (2025)
by: Rahimian, Pegah, et al.
Published: (2025)
JailbreakHunter: A Visual Analytics Approach for Jailbreak Prompts Discovery from Large-Scale Human-LLM Conversational Datasets
by: Jin, Zhihua, et al.
Published: (2024)
by: Jin, Zhihua, et al.
Published: (2024)
EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses
by: Pyreddy, Shireesh Reddy, et al.
Published: (2025)
by: Pyreddy, Shireesh Reddy, et al.
Published: (2025)
Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents
by: Miao, Ziyang, et al.
Published: (2025)
by: Miao, Ziyang, et al.
Published: (2025)
Processes Matter: How ML/GAI Approaches Could Support Open Qualitative Coding of Online Discourse Datasets
by: Chen, John, et al.
Published: (2025)
by: Chen, John, et al.
Published: (2025)
Exploring Empty Spaces: Human-in-the-Loop Data Augmentation
by: Yeh, Catherine, et al.
Published: (2024)
by: Yeh, Catherine, et al.
Published: (2024)
Silencing Empowerment, Allowing Bigotry: Auditing the Moderation of Hate Speech on Twitch
by: Shukla, Prarabdh, et al.
Published: (2025)
by: Shukla, Prarabdh, et al.
Published: (2025)
Story Ribbons: Reimagining Storyline Visualizations with Large Language Models
by: Yeh, Catherine, et al.
Published: (2025)
by: Yeh, Catherine, et al.
Published: (2025)
Similar Items
-
ECHO-LLaMA: Efficient Caching for High-Performance LLaMA Training
by: Dialameh, Maryam, et al.
Published: (2025) -
LogLLaMA: Transformer-based log anomaly detection with LLaMA
by: Yang, Zhuoyi, et al.
Published: (2025) -
Sequential Decision-Making for Inline Text Autocomplete
by: Chitnis, Rohan, et al.
Published: (2024) -
Parameter-Efficient Fine-Tuning of LLaMA for the Clinical Domain
by: Gema, Aryo Pradipta, et al.
Published: (2023) -
ETS: Open Vocabulary Electroencephalography-To-Text Decoding and Sentiment Classification
by: Masry, Mohamed, et al.
Published: (2025)